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1.
J Surg Res ; 237: 95-105, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-29526272

RESUMO

BACKGROUND: Although unscheduled readmissions are increasingly being used as a quality indicator, only few readmission studies have focused on surgical patient populations. METHODS: An observational study "CURIOS@" was performed at three centers in the Netherlands. Readmitted patients and treating doctors were surveyed to assess the discharge process during index admission and their opinion on predictability and preventability of the readmission. Risk factors associated with predictability and preventability as judged by patients and their doctor were identified. Cohen's kappa was calculated to measure pairwise agreement of considering readmission as predictable/preventable. PRISMA root cause categories were used to qualify the reasons for readmission. RESULTS: In 237 unscheduled surgical readmissions, more patients assessed their readmissions to be likely preventable compared with their treating doctors (28.7% versus 6.8%; kappa, 0.071). This was also reflected in poor consensus about risk factors and root causes of these readmissions. When patients reported that they did not feel ready for discharge or requested their doctor to allow them to stay longer at discharge during index admission, they deemed their readmission more likely predictable and preventable. Doctors focused on measurable factors such as the clinical frailty scale and biomarkers during discharge process. Health-care worker failures were strongly associated with preventable readmissions. CONCLUSIONS: There is no consensus between readmitted patients and treating doctors about predictability and preventability of readmissions, nor about associated risk factors and root causes. Patients should be more effectively involved in their discharge process, and the relevance of optimal communication between them should be emphasized to create a safe and efficient discharge process.


Assuntos
Regras de Decisão Clínica , Participação do Paciente/psicologia , Readmissão do Paciente/estatística & dados numéricos , Relações Médico-Paciente , Médicos/psicologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Comunicação , Consenso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Países Baixos , Alta do Paciente , Médicos/estatística & dados numéricos , Estudos Retrospectivos , Fatores de Risco , Inquéritos e Questionários/estatística & dados numéricos , Fatores de Tempo , Adulto Jovem
2.
Crit Care ; 22(1): 227, 2018 09 22.
Artigo em Inglês | MEDLINE | ID: mdl-30241490

RESUMO

BACKGROUND: Frailty is a state of vulnerability to poor resolution of homeostasis after a stressor event and is strongly associated with adverse outcomes. Therefore, the assessment of frailty may be an essential part of evaluation in any healthcare encounter that might result in an escalation of care. The purpose of the study was to assess the frequency and association of frailty with clinical outcomes in patients subject to rapid response team (RRT) review. METHODS: In this multi-national prospective observational cohort study, centres with existing RRTs collected data over a 7-day period, with follow up of all patients at 24 h following their RRT call and at hospital discharge or 30 days following the event trigger (whichever came sooner). Investigators also collected data on the triggers and interventions provided and a bedside assessment on the level of patients' frailty using a clinical frailty scale. RESULTS: Amongst 1133 patients, 40% were screened as frail, which was associated with older age (p < 0.001), admission under a medical speciality (p < 0.001), increased severity of illness at the time of the RRT review (p = 0.0047), and substantially higher frequency of limitations of care (p < 0.001). Importantly, 72% of patients screened as frail were either dead or dependent on hospital care by 30 days (p < 0.001). In the multivariable analysis, the significant risk factors for the composite endpoint "poor recovery" (died or were hospital-dependent by 30 days) were age (odds ratio (OR), 1.04; 95% confidence interval (CI), 1.03-1.05; p < 0.001), frailty level (p < 0.001), existing limitation of care (OR, 2.0; 95% CI, 1.3-3.0; p < 0.001), and the quick sequential organ failure assessment (qSOFA) score (p < 0.001). CONCLUSIONS: Higher frailty scores were associated with increased mortality and dependence on health care at 30 days. Our results indicate that frailty has an influence on the clinical trajectory of deteriorating patients and that such assessment should be included in discussion of goals and expectations of care. TRIAL REGISTRATION: Netherlands Trial Registry, NTR5535 . Registered on 23 December 2015.


Assuntos
Fragilidade/complicações , Equipe de Respostas Rápidas de Hospitais/normas , Avaliação de Resultados em Cuidados de Saúde/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Distribuição de Qui-Quadrado , Estudos de Coortes , Feminino , Fragilidade/mortalidade , Mortalidade Hospitalar , Equipe de Respostas Rápidas de Hospitais/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Humanos , Unidades de Terapia Intensiva/organização & administração , Unidades de Terapia Intensiva/estatística & dados numéricos , Internacionalidade , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Razão de Chances , Estudos Prospectivos , Projetos de Pesquisa/estatística & dados numéricos
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